pom-literature-positioning
Use when positioning a Production and Operations Management (POM) manuscript within an operations conversation — against the target Department's prior work and adjacent OM journals (M&SOM, Management Science, Operations Research, JOM). Positions the paper; it does not build the model (pom-theory-development) or state the contribution (pom-contribution-framing).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pom-literature-positioning --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Literature Positioning (pom-literature-positioning) ## When to trigger - The front end reads as gap-spotting ("no one has modeled X") - Reviewers from the target Department will know a literature you have not engaged - You must distinguish a same-data or closely related paper from prior work - You are unsure whether POM (vs. a narrower venue) is the right home ## Position within the right Depart
What does the pom-literature-positioning skill do?
Use when positioning a Production and Operations Management (POM) manuscript within an operations conversation — against the target Department's prior work and adjacent OM journals (M&SOM, Management Science, Operations Research, JOM). Positions the paper; it does not build the model (pom-theory-development) or state the contribution (pom-contribution-framing).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pom-literature-positioning --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.